Top Engineering Jobs in San Francisco, CA

The role involves building a scalable platform for scientific models, defining standards for model developers, and collaborating with customers on AI use cases.

As a Software Engineer, you will design and implement systems for enterprise customers in regulatory environments, ensuring product compliance and efficiency. Responsibilities include technical leadership, scalable architecture design, and collaborating with various teams to enhance user experience and regulatory workflows.

The Engineering Leader will manage infrastructure engineers, ensure reliability and security of cloud services, and collaborate across teams to enhance engineering practices in biotech R&D.

The Software Engineer will develop and maintain full-stack features for the workflow platform, support AI integration, and ensure reliability in biotech operations.

Design and implement full-stack features for Registry and Inventory (React + Python). Lead end-to-end projects, shape architecture, optimize performance, mentor engineers, improve code quality, and collaborate cross-functionally to ensure data integrity and scalable systems for life-sciences workflows.

Build and own end-to-end frontend features and developer productivity tooling. Design and extend frontend frameworks and architecture (large React app), create tooling for development, testing, and packaging, and collaborate with product, design, and engineering to scale processes and improve developer experience.

Build and maintain release engineering tooling to streamline development, testing, packaging, and production releases. Improve developer experience through feedback-driven iteration, collaborate across teams to solve workflow bottlenecks, and help scale product, processes, and hiring.

Senior software engineer owning Lab Notebook and Enterprise Lifecycle systems. Architect and implement scalable backend APIs and full-stack features, lead multi-quarter initiatives, provide cross-team technical leadership, mentor engineers, ensure compliance for regulated workflows, and explore AI/LLM applications to improve data capture and auditability across the platform.

Senior software engineer leading architecture and implementation for Study Lifecycle and Process Execution products. Design full-stack solutions for regulated scientific workflows, own large multi-quarter initiatives, mentor engineers, influence Applications-wide technical direction, and explore AI/LLM-driven improvements to lab operations, SOP execution, and time-series analysis.

As a Software Engineer for AI Growth, you will create product experiences that enhance AI adoption among scientists, conducting user feedback sessions, and improving the growth platform through experimentation and analytics.